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Related Concept Videos

Overview of Cell Signaling01:23

Overview of Cell Signaling

Despite the protective membrane that separates a cell from the environment, cells need the ability to detect and respond to environmental changes. Additionally, cells often need to communicate with one another. Unicellular and multicellular organisms use a variety of cell signaling mechanisms to communicate with the environment.
Cells respond to many types of information, often through receptor proteins positioned on the membrane. For example, skin cells respond to and transmit touch...
Overview of Cell Signaling01:23

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Despite the protective membrane that separates a cell from the environment, cells need the ability to detect and respond to environmental changes. Additionally, cells often need to communicate with one another. Unicellular and multicellular organisms use a variety of cell signaling mechanisms to communicate with the environment.
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What is Cell Signaling?02:03

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The physiological function of a cell and cellular communication are outcomes of a range of extrinsic signals, intracellular signaling pathways, and cellular responses. No two cell types express the same repertoire of signaling components. Receptors are highly selective for their cognate ligands, but once activated, they can alter multiple cellular processes such as DNA transcription, protein synthesis, and metabolic activity. 
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Integrative Toolkit to Analyze Cellular Signals: Forces, Motion, Morphology, and Fluorescence
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Integration of cellular signals in chattering environments.

P Rué1, N Domedel-Puig, J Garcia-Ojalvo

  • 1Departament de Física i Enginyeria Nuclear, Universitat Politècnica de Catalunya Edifici GAIA, Rambla Sant Nebridi s/n, 08222 Terrassa, Spain. pau.rue@upc.edu

Progress in Biophysics and Molecular Biology
|May 16, 2012
PubMed
Summary

Cellular signal integration is influenced by background noise. This study reveals that cellular networks can adapt to environmental fluctuations, with noise impacting information processing capabilities.

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Area of Science:

  • Cellular Biology
  • Systems Biology
  • Computational Biology

Background:

  • Cells operate in dynamic environments, requiring signal transduction networks to process external stimuli.
  • Understanding how these complex networks integrate information amidst environmental noise remains a challenge.

Purpose of the Study:

  • To investigate the role of background noise in cellular signal integration within a eukaryotic cell.
  • To explore how fluctuating environmental conditions affect the information processing capabilities of signal transduction networks.

Main Methods:

  • Utilized a Boolean model of a human signal transduction network.
  • Performed computational analysis to simulate signal integration under varying noise levels.

Main Results:

  • Identified simple signal integration patterns within the complex network.
  • Demonstrated that integration patterns are contingent upon the level of background noise.
  • Found that background noise significantly influences the cell's capacity for information integration.

Conclusions:

  • Cellular signal integration is sensitive to environmental fluctuations.
  • Background noise plays a critical role in determining the information processing capabilities of cellular networks.